Examples

Show, don't tell: AI use cases from everyday SME work.

What AI can look like in day-to-day operations. All examples use fictional companies and data. The workflows are real. Where an example is still missing, it says so.

View example

Quote assistant

Turn an incoming request into a prepared quote draft automatically. Four agents do the work. Approval stays with you.

  • Trades & construction
  • Services
  • Industry & commerce

More examples to follow: Customer & sales assistant · Document assistant · Lightweight business software · Marketing assistant

Sample data. No real clients. Real layout.

Example: Quote Assistant

Four agents do the work. Approval stays with you.

One request, four digital assistants (we call them agents) and one approval: yours. This is how an email becomes a finished quote, with nothing leaving the building without your click.

Example flow Fictional company · fictional data
TINA Triage

reads the request and recognises what it is about

NOA Research

fetches prices, customer data and earlier quotes

ELIA Draft

writes the quote draft from the template

YOU Approval

check the draft and decide

ANNA Completion

sends the quote and records it in the system

Email · R. Bühler, Uster▸ YOU

Quote for three windows?

waiting for your click

Approve?
Outlook · reads
e.g. bexio · reads
Template · reads
none
e.g. bexio · writes
Before approval, agents only read.Writing happens only after your click.
  1. TINA · Triage reads the request and recognises what it is about → recognised: quote request · new customer Outlook · reads
  2. NOA · Research fetches prices, customer data and earlier quotes → found: 3 earlier quotes, 2026 price list e.g. bexio · reads
  3. ELIA · Draft writes the quote draft from the template → draft: 4 items · CHF 8,400 Template · reads
  4. YOU · Approval check the draft and decide → waiting for your click none
  5. ANNA · Completion sends the quote and records it in the system → sent · recorded in bexio e.g. bexio · writes

1 request · 4 agents · 1 approval: yours.

Worked example with fictional data. Amounts and timings are assumptions, not measurements from client projects.

Where could AI make the biggest difference in your business?

  • Perhaps your team spends too much time on administration.
  • Perhaps you pay for software that doesn't really fit.
  • Perhaps you have an idea for a new service.
  • Or you first want to know how to adopt AI safely.

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